1. How much did the intervention cost?

2. How much did the intervention save in medical costs?

3. How much did the intervention affect the "economic activity" (work and school productivity and performance) of the target population?

4. What will the effect of the intervention be across time (in the future) and space (in other places)?

Absenteeism data spans from January 01, 2010 until July 18, 2016. On average, there are 124 absences per day.

• Number of workers: 38472 (ever)
• 7,648 permanent
• 29,872 temporary
• Average absenteeism rate: 1.4% (data quality issues)

We also have:

• Human resources data
  
• IRS (malaria control) data
  
• Absenteeism data

Currently working on:

• Cleaning and analyzing absenteeism data
• Getting tonnage (productivity) data

Error: length(lims) == 2 is not TRUE

• Student-years: 3572
• Student-days: 383702 (only counting eligible school days)
• Number of students: 1787 (and growing)
• 9 schools
• Average absenteeism rate of 6.2%

Rainfall data

Rainfall data

Error in eval(expr, envir, enclos): object 'malaria_risk' not found

IRS data

Outcomes

Outcomes

Outcomes

Basic diff in diff

Difference in difference of 2.17 percentage points, or 48.27 percent.

Basic diff in diff

Validation with OPD data